Prediction of enhanced coagulation with varied pre-oxidations for seasonal variations of cyanobacteria-dominated algae-laden water quality.

Journal: Journal of environmental management
Published Date:

Abstract

Enhanced coagulation with pre-oxidation is a cost-effective approach for managing seasonal water quality pollution caused by algal outbreaks and deaths. The synergistic application of pre-oxidants and coagulants, coupled with intelligent and precise dosage control, constitutes a prominent research focus in water treatment field. This study evaluates the removal of various pre-oxidants, including potassium permanganate (KMnO), KMnO composites (PPC), and potassium ferrate (KFeO), in combination with coagulants like polyaluminum chloride (PACl) and aluminum sulfate (Al(SO)). A machine learning algorithm, based on the least squares support vector machine (LSSVM), was developed to predict optimal dosages. After 15 months of source water quality monitoring, algal contaminations predominantly driven by cyanobacteria-dominated became worse particularly in the high temperature and algae period and autumn, which were positively correlated with UV and COD (p < 0.05). The doses of PACl and Al(SO) were between 100 μM and 120 μM (calculated as Al) across various periods to efficiently remove organic matter. Under optimal chemical dosages, pre-oxidation facilitated the protein-like substances removal. The removal efficiency of PPC surpassed that of KMnO and KFeO. The LSSVM model demonstrated superior predictive performance for dosages compared to other models like random forest (RF) and back propagation (BP) neural networks, with feature importance analysis identifying water temperature, UV, and conductivity as the core parameters for real-time dosing systems. This study elucidated dosing strategies alongside algae contaminations removal associated with pre-oxidation enhanced coagulation while proposing a methodology for dynamically adjusting oxidant and coagulant dosages through real-time monitoring of both raw water quality and effluent from coagulation-precipitation processes, thereby providing novel insights into precise real-time dosing for chemicals in water treatment facilities.

Authors

  • Luming Ding
    College of Architecture & Civil Engineering, Beijing University of Technology, Beijing, 100124, China.
  • Zhiwei Zhou
    Interdisciplinary Research Center on Biology and Chemistry, and Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
  • Yanling Yang
    Basic Medical College of Yan'an University, Yan'an, China.
  • Yuankun Liu
    Department of Neurosurgery, The Afliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China. wxrmyylyk@stu.njmu.edu.cn.
  • Fei Han
    Organ Transplantation Research Institution, Division of Kidney Transplantation, Department of Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Wenqing Yu
    Department of Civil Engineering and Water Conservancy, Shandong University, Jinan, 250061, China.
  • Kaidi Xin
    Anqiu Urban and Rural Water Supply Co., Ltd, Weifang, 262199, China.
  • Chunqing Liu
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Xing Li
    Department of Nutrition and food hygiene, College of Public Health of Zhengzhou University, Zhengzhou, China, 450001. Electronic address: 526924683@qq.com.
  • Jiawei Ren
    College of Architecture & Civil Engineering, Beijing University of Technology, Beijing, 100124, China.